The State of Statistics in Julia
Updated 12.2.2012: Added sample output based on a suggestion from Stefan Karpinski. Introduction Over the last few weeks, the Julia core team has rolled out a demo version of Julia’s package management system. While the Julia package system is still very much in beta, it nevertheless provides the first plausible way for non-expert users to see where Julia’s growing community of developers is headi
Why Julia's DataFrames are Still Slow
Introduction Although I’ve recently decided to take a break from working on OSS for a little while, I’m still as excited as ever about Julia as a language. That said, I’m still unhappy with the performance of Julia’s core data analysis infrastructure. The performance of code that deals with missing values has been substantially improved thanks to the beta release of the NullableArrays package, whi
What's Wrong with Statistics in Julia?
Introduction Several months ago, I promised to write an updated version of my old post, “The State of Statistics in Julia”, that would describe how Julia’s support for statistical computing has evolved since December 2012. I’ve kept putting off writing that post for several reasons, but the most important reason is that all of my attention for the last few months has been focused on what’s wrong w
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No Juice for You, CSV Format. It Just Makes You More Awful.
